{"id":"W7127114794","doi":"10.1109/icaaid68975.2025.11358171","title":"Assessment of Ensemble Learning Techniques for Predicting Delamination Factor (F <sub>d</sub> ) in Abrasive Water Jet Machined SiC-Reinforced Jute Epoxy Composites","year":2025,"lang":"","type":"article","venue":"","topic":"Erosion and Abrasive Machining","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Delamination (geology); Epoxy; Abrasive; Ensemble learning; Work (physics); Decision tree; Random forest","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001028226,0.0005221559,0.0006995918,0.0004380602,0.0005299689,0.0001480126,0.0004260202,0.0002837244,0.0004574105],"category_scores_gemma":[0.0002068151,0.0004223827,0.0002490508,0.0004274476,0.0002163818,0.0006225203,0.0006164262,0.0005193744,0.00001427995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000512293,"about_ca_system_score_gemma":0.00006722206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000271693,"about_ca_topic_score_gemma":0.000245275,"domain_scores_codex":[0.9963664,0.0002613053,0.001284798,0.0007867425,0.0005418596,0.0007588778],"domain_scores_gemma":[0.9983435,0.0006777055,0.0004518609,0.0003106,0.00009031978,0.0001259755],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004462208,0.00009167584,0.2350859,0.0001620904,0.00003707429,0.000002340952,0.0009787899,0.005569991,0.7396517,0.00094415,0.00001948613,0.01741221],"study_design_scores_gemma":[0.0008333651,0.0003599864,0.168129,0.0003815648,0.00004267683,0.000001314495,0.0005243025,0.16634,0.6629232,0.0001315745,0.00004136858,0.0002916634],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8106676,0.00002162077,0.1793453,0.0002880206,0.000184618,0.001527077,0.00002943755,0.0001206795,0.007815582],"genre_scores_gemma":[0.9875287,0.00006041713,0.01077287,0.0002587576,0.00002756666,0.0001476466,0.00009725116,0.00004001277,0.00106676],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1768611,"threshold_uncertainty_score":0.9998228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008838932704921417,"score_gpt":0.2763835309044441,"score_spread":0.2675445981995227,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}